Principal Architect – AI Applications

Principal Architect – AI Applications

Dr. Reddy's Laboratories, or Dr. Reddy's in short, is a global integrated pharmaceutical company.

Each of our 20,000 plus employees comes to work every day for one collective purpose: to accelerate access to affordable and innovative medicines because Good Health Can't Wait. We believe that the game-changing power of technology is what will help us deliver on this purpose. Our digital transformation journey is continuous, pervasive and driven at the highest level.

We are looking for people who share our passion to catalyze this journey.

A brief about us (you'll find more on our website ): We have three core businesses: Global Generics, Pharmaceutical Services and Active Ingredients and Proprietary Products. We have a strong and growing Biologics portfolio and a rich, transnational R&D network. Our manufacturing, marketing and sales operations span 56 countries.

Role Overview

As businesses accelerate their digital transformation, Dr Reddy's Laboratories is seeking a Technical Lead or Architect with 6-12 years of experience in application development and expertise in AI/ML technologies. This role is crucial in shaping scalable AI-driven applications that deliver business value across various functions. You will lead the design and deployment of AI solutions, ensuring performance, reliability, and compliance.

Responsibilities:

• Architect AI-Driven Digital Applications: Design and implement scalable applications utilizing AI/ML technologies, including LLMs and GenAI, ensuring robust architecture and integration with existing systems.
• Cloud Infrastructure Engineering: Architect end-to-end infrastructure for AI model deployment on cloud platforms (Azure, AWS, GCP), focusing on performance optimization and cost-effectiveness.
• Innovation and Reusability: Drive the development of reusable components and APIs that accelerate the delivery of AI applications, fostering a culture of innovation within the team.
• Governance and Compliance: Establish and enforce standards for model fairness, compliance (GxP, GDPR, HIPAA), and risk management, ensuring responsible AI practices.
• Knowledge Transfer and Training: Lead workshops and training sessions to uplift team capabilities in AI/ML technologies, including LLMs and GenAI applications.
• Cross-Functional Collaboration: Collaborate with product managers, data scientists, and software engineers to ensure alignment on project goals and successful implementation of AI solutions.

• Mandatory Qualifications:
  • Bachelor's or master's degree in computer science, Artificial Intelligence, Data Engineering, or a related technical field.
  • 6-12 years of experience in application development, with a focus on AI/ML technologies.
  • 1-2 years of hands-on experience with GenAI/LLM applications, including RAG and autonomous agents.
  • Proven track record of designing and delivering enterprise-scale AI systems in regulated environments (e.g., healthcare, finance).
• Preferred Qualifications:
  • Familiarity with AI frameworks and tools such as OpenAI, Hugging Face Transformers, LangChain, and Semantic Kernel.
  • Experience with cloud platforms (Azure preferred), infrastructure-as-code (Terraform/CDK), and monitoring tools (Prometheus, Grafana).
  • Strong understanding of data privacy regulations (e.g., GDPR, HIPAA) and their implications for AI systems.
  • Excellent communication skills to convey complex concepts to diverse audiences and facilitate collaboration across teams.

• Excellent leadership and team management skills, with the ability to mentor and develop engineering leads and developers.
• Strong communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
• Strategic thinker with a problem-solving mindset and a focus on delivering business value.
• Proven experience in partner management, development, and capability management.
• Ability to work in a fast-paced environment and manage multiple projects simultaneously.
• Collaborative approach, with a strong emphasis on cross-functional teamwork and stakeholder engagement.